| Bulletin of the Korean chemical society | |
| Adenosine Kinase Inhibitor Design Based on Pharmacophore Modeling | |
| Keun Woo Lee1  Nagakumar Bharatham1  Kavitha Bharatham1  Yuno Lee1  | |
| 关键词: Adenosine (ADO); Adenosine kinase (AK) inhibitors; Pharmacophore hypotheses; New lead search; Computer-aided drug design; | |
| DOI : | |
| 学科分类:化学(综合) | |
| 来源: Korean Chemical Society | |
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【 摘 要 】
Adenosine kinase (AK) is a ubiquitous intracellular enzyme, which catalyzes the phosphorylation of adenosine (ADO) to adenosine monophosphate (AMP). AK inhibitors have therapeutic potential as analgesic and antiinflammatory agents. A chemical feature based pharmacophore model has been generated from known AK inhibitors (26 training set compounds) by HypoGen module implemented in CATALYST software. The top ranked hypothesis (Hypo1) contained four features of two hydrogen-bond acceptors (HBA) and two hydrophobic aromatics (Z). Hypo1 was validated by 124 test set molecules with a correlation coefficient of 0.905 between experimental and estimated activity. It was also validated by CatScramble method. Thus, the Hypo1 was exploited for searching new lead compounds over 238,819 chemical compounds in NCI database and then the selected compounds were screened based on restriction estimated activity and Lipinski’s rules to evaluate their drug-like properties. Finally we could obtain 72 new lead candidates and the two best compound structures from them were posted.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010240469ZK.pdf | 260KB |
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